“Modeling and Control of Methanol to Propylene Reactor”

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Taherifar, Roghayeh | 2012

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 44282 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Shahrokhi, Mohammad
Abstract:
Methanol to Olefin (MTO) process is a part of the Methanol to Gasoline (MTG) production in a catalytic bed. Usually for this process, HZSM-5 or SAPO-n catalyst is used. In this research, dynamic modeling and simulation of the methanol to olefin catalytic reactor using HZSM-5 as the catalyst is done. The system is modeled based on the kinetic model for HZSM-5 presented by Castilla in 1999 [22]. Since the reaction is exothermic, taking use of a cooling system is essential. According to the high reactor temperature, a molten salt environment is used as the cooling media. In this cooling system, the molten salt absorbs heat of reaction from the reactor tubes and transfers it to a coil connected to the steam drum. In order to control the maximum temperature of the reactor and prevention of catalyst destruction, a control system is designed. Due to the rapid deactivation of the catalyst an Adaptive Model Predictive Controller (AMPC) is designed. Performance of AMPC is compared with that of PI controller via computer simulation. As it was expected, the performance of AMPC is superior
Keywords:
Kinetic Model ; Zeolite Catalyst HZSM-5 ; Adaptive Predictive Control ; Cooling System ; Methanol Conversion to Olefin (MTO)Process

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